Abstract. The 2021 Scientific Initiatives in ISPRS funded this project called ISRS-SHY from "SHare mY ground truth". It was intended as a collector of geographic data to support image analysis by sharing the necessary ground truth data needed for rigorous analysis. Regression and classification tasks that use remote sensing imagery necessarily require some control on the ground. The rationale behind this project is that often data on the ground is collected during projects, but is not valued by sharing across projects and teams globally. Internet has improved the way that data are shared, but there are still limitations related to discoverability of the data and its integrity. In other words, data are usually kept in local storage or, if in...
Remote Sensing (RS) digital classification techniques require sufficient, accurate and ubiquitously ...
In recent years, remote sensing data collection and archiving have significantly increased. Landsat ...
Citizens are increasingly becoming involved in data collection, whether for scientific purposes, to ...
With the increased availability of very high-resolution satellite imagery, terrain based imaging and...
With the increased availability of very high-resolution satellite imagery, terrain based imaging and...
Nowadays, advanced remote sensing technologies provide huge amount of Earth Observation (EO) data ti...
Generalisation and uncertainty in ecological data are hugely problematic for environmental monitorin...
One of the main concerns in adopting citizen science is data quality. Derived products inherit intri...
There is an increasing amount of open Earth observation (EO) data available, offering solutions to m...
The Remote Sensing data is important data for people to research in GIS, which is used as background...
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing a...
As unconventional sources of geo-information, massive imagery and text messages from open platforms ...
One of the main concerns in adopting citizen science is data quality. Derived products inherit intri...
Earth observations (EO) represent a growing and valuable resource for many scientific, research and ...
Digital solutions in agricultural management promote food security and support the sustainable use o...
Remote Sensing (RS) digital classification techniques require sufficient, accurate and ubiquitously ...
In recent years, remote sensing data collection and archiving have significantly increased. Landsat ...
Citizens are increasingly becoming involved in data collection, whether for scientific purposes, to ...
With the increased availability of very high-resolution satellite imagery, terrain based imaging and...
With the increased availability of very high-resolution satellite imagery, terrain based imaging and...
Nowadays, advanced remote sensing technologies provide huge amount of Earth Observation (EO) data ti...
Generalisation and uncertainty in ecological data are hugely problematic for environmental monitorin...
One of the main concerns in adopting citizen science is data quality. Derived products inherit intri...
There is an increasing amount of open Earth observation (EO) data available, offering solutions to m...
The Remote Sensing data is important data for people to research in GIS, which is used as background...
Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing a...
As unconventional sources of geo-information, massive imagery and text messages from open platforms ...
One of the main concerns in adopting citizen science is data quality. Derived products inherit intri...
Earth observations (EO) represent a growing and valuable resource for many scientific, research and ...
Digital solutions in agricultural management promote food security and support the sustainable use o...
Remote Sensing (RS) digital classification techniques require sufficient, accurate and ubiquitously ...
In recent years, remote sensing data collection and archiving have significantly increased. Landsat ...
Citizens are increasingly becoming involved in data collection, whether for scientific purposes, to ...